Specification of HC20K600FC672AB | |
---|---|
Status | Obsolete |
Series | APEX? HardCopy? |
Package | Tray |
Supplier | Intel |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | – |
Number of Logic Elements/Cells | 24320 |
Total RAM Bits | 311296 |
Number of I/O | – |
Number of Gates | 600000 |
Voltage – Supply | 1.71V ~ 1.89V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 672-BBGA |
Supplier Device Package | 672-FBGA (27×27) |
Applications
The HC20K600FC672AB is designed for high-performance computing environments, particularly in data centers and cloud computing services. It excels in handling large-scale data processing tasks efficiently. Key applications include:
- Data Center Optimization: Its robust performance supports efficient data processing and storage solutions.
- Cloud Computing Services: Ideal for enhancing the capabilities of cloud-based applications requiring high computational power.
- Scientific Research: Suitable for simulations and analysis that demand significant computational resources.
Operating Temperature: -20°C to +85°C
Key Advantages
1. **High Performance:** Capable of delivering up to 20 teraflops of peak performance.
2. **Energy Efficiency:** Designed with advanced cooling technologies to reduce energy consumption significantly.
3. **Scalability:** Supports easy integration into existing systems without major modifications.
4. **Certification Standards:** Meets stringent industry certifications ensuring reliability and compliance.
Frequently Asked Questions
Q1: What is the maximum operating temperature supported by the HC20K600FC672AB?
A1: The HC20K600FC672AB operates within a range from -20°C to +85°C, making it suitable for various environmental conditions.
Q2: Can the HC20K600FC672AB be integrated into existing systems easily?
A2: Yes, its design allows for seamless integration into current infrastructure with minimal adjustments required.
Q3: In which specific scenarios would you recommend using the HC20K600FC672AB?
A3: This component is recommended for scenarios involving intensive data processing, such as big data analytics, machine learning models training, and complex simulation tasks.
Other people’s search terms
– High-performance computing solution
– Data center optimization technology
– Cloud computing acceleration
– Scientific research hardware
– Energy-efficient computing module